Clinical Connections

Numerous models have been developed to predict remission in rheumatoid arthritis (RA) based on regressionbased statistical approaches, but these models seldom address newer therapies or remission assessed over longer follow-up periods.Machine learning-based models may enable the discovery of complex, nonlinear interactions across diverse variables. SUMMARYObesity and overweight are common comorbidities in people living with psoriatic arthritis (PsA), affecting up to provides a new avenue to improve outcomes in PsA. and followed them for 3-12 months.Over this time period, researchers found that patients taking these medications also served as an added way to reduce pain and improve cardiometabolic markers, highlighting the importance of addressing obesity in the treatment of PsA.

Publication Details

Journal
Arthritis & Rheumatology
Published
2026-10-27
DOI
https://doi.org/10.1002/art.70369
Primary Topic
Rheumatoid Arthritis Research and Therapies
Type
article
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Abstract

Numerous models have been developed to predict remission in rheumatoid arthritis (RA) based on regressionbased statistical approaches, but these models seldom address newer therapies or remission assessed over longer follow-up periods.Machine learning-based models may enable the discovery of complex, nonlinear interactions across diverse variables. SUMMARYObesity and overweight are common comorbidities in people living with psoriatic arthritis (PsA), affecting up to provides a new avenue to improve outcomes in PsA. and followed them for 3-12 months.Over this time period, researchers found that patients taking these medications also served as an added way to reduce pain and improve cardiometabolic markers, highlighting the importance of addressing obesity in the treatment of PsA.

Arthritis & RheumatologyVol. 78(11)
Good health and well-being
Openalex Percentile: Top 12%
Rheumatoid Arthritis Research and Therapies
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Clinical Connections · Arthritis & Rheumatology (2026) | TGRS Research Map | TGRS